Elasticsearch

What are the main disadvantages of using Elasticsearch?

The question is about Elasticsearch .

Answer:
The main disadvantages of Elasticsearch include: high JVM memory requirements and complex garbage collection tuning for production stability; operational overhead of cluster management and index lifecycle configuration; near-real-time rather than instant indexing with a 1-second default delay; data duplication costs from synchronising the application database with the Elasticsearch index; and significantly higher infrastructure cost compared to PostgreSQL full-text search at equivalent data volumes.

Find your perfect Elasticsearch tech match

Denys specializes in back-end development with a focus on PHP and its frameworks. With 8 years of experience, he has developed a robust proficiency in Symfony and Laravel, employing these tools to enhance application performa... Read More

Level
Senior
Availability
40 h/w
Experience
8 yrs.
English
B2

Nijat is a proficient Software Engineer with a strong focus on backend development, possessing 5 years of commercial experience in various programming environments. His expertise in Java and Spring Boot has been pivotal in de... Read More

Level
Senior
Availability
40 h/w
Experience
5 yrs.
English
B2

Oleksandr is a Senior Java Engineer with a strong focus on backend development, bringing 15 years of experience in building scalable applications. He extensively uses Spring Framework, Spring Boot, and Java to design and impl... Read More

Level
Senior
Availability
40 h/w
Experience
15 yrs.
English
B2
Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

Level
Senior
Availability
20 - 30 h/w
Experience
10 yrs.
English
C1
Cortance 5-star rating on ClutchCortance 5-star rating on GoodFirms
Anonymous
CEO

Cortance provided us with three AI/ML experienced backend developers who met our tech expectations and integrated into our team well. They picked up our workflows quickly and, because of their solid experience, helped us to sort all the Machine learning-related tasks. The hiring process was also fast and efficient, which helped us scale without delays.

g2
5.0/5.0
Catherine Ilaschuk
Marketing Assistant

Cortance delivered a functional, stable system on time, receiving positive feedback from the end client. The team was responsive to feedback and quickly resolved issues, communicating via virtual meetings, emails, and messaging apps. Their proactive approach impressed the client.

Clutch
5.0/5.0
Curved left line
We're Here to Help

Thinking about how to expand a tech team flexibly to adapt to different working paces?

Accelerate development, meet launch deadlines with flexible, much-needed capacity. Add new skills your team currently lacks.

Curved right line